Speech emotion detection using supervised, unsupervised and feature selection algorithms

Speech emotion detection using supervised, unsupervised and feature selection algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Dettagli Bibliografici
Autori principali:	Rifat, Abu Nuraiya Mahfuza Yesmin, Biswas, Aditi, Chowdhury, Nadia Farhin
Altri autori:	Uddin, Jia
Natura:	Tesi
Lingua:	English
Pubblicazione:	BRAC University 2019
Soggetti:	SER MFCC Random forest Gradient boosting SVM CNN RFE P-Value PCA Supervised learning (Machine learning)
Accesso online:	http://hdl.handle.net/10361/12287

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